April 18, 2024, 4:47 a.m. | Jin Wang, JinFei Wang, Shuying Dai, Jiqiang Yu, Keqin Li

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.11447v1 Announce Type: cross
Abstract: Automated dialogue systems are important applications of artificial intelligence, and traditional systems struggle to understand user emotions and provide empathetic feedback. This study integrates emotional intelligence technology into automated dialogue systems and creates a dialogue generation model with emotional intelligence through deep learning and natural language processing techniques. The model can detect and understand a wide range of emotions and specific pain signals in real time, enabling the system to provide empathetic interaction. By integrating …

abstract applications applications of artificial intelligence artificial artificial intelligence arxiv automated cs.ai cs.cl deep learning dialogue emotional intelligence emotionally intelligent emotions feedback intelligence intelligent research struggle study systems technology through type

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